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<div class="header">
  <div class="summary">
<a href="#func-members">Functions</a>  </div>
  <div class="headertitle">
<div class="title">Math with F1-transform support<div class="ingroups"><a class="el" href="../../df/d5b/group__fuzzy.html">Image processing based on fuzzy mathematics</a></div></div>  </div>
</div><!--header-->
<div class="contents">
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:ga7d6d0321a9914d3796a1e3b9fc68a495"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/df0/group__f1__math.html#ga7d6d0321a9914d3796a1e3b9fc68a495">cv::ft::FT12D_components</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> matrix, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> kernel, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> components)</td></tr>
<tr class="memdesc:ga7d6d0321a9914d3796a1e3b9fc68a495"><td class="mdescLeft"> </td><td class="mdescRight">Computes components of the array using direct \(F^1\)-transform.  <a href="../../d6/df0/group__f1__math.html#ga7d6d0321a9914d3796a1e3b9fc68a495">More...</a><br/></td></tr>
<tr class="separator:ga7d6d0321a9914d3796a1e3b9fc68a495"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga4cdc8614be18fd950b6da114168391b5"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/df0/group__f1__math.html#ga4cdc8614be18fd950b6da114168391b5">cv::ft::FT12D_createPolynomMatrixHorizontal</a> (int radius, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> matrix, const int chn)</td></tr>
<tr class="memdesc:ga4cdc8614be18fd950b6da114168391b5"><td class="mdescLeft"> </td><td class="mdescRight">Creates horizontal matrix for \(F^1\)-transform computation.  <a href="../../d6/df0/group__f1__math.html#ga4cdc8614be18fd950b6da114168391b5">More...</a><br/></td></tr>
<tr class="separator:ga4cdc8614be18fd950b6da114168391b5"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:gae14b96c862f6c1b1f13cce03a95e3e2d"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/df0/group__f1__math.html#gae14b96c862f6c1b1f13cce03a95e3e2d">cv::ft::FT12D_createPolynomMatrixVertical</a> (int radius, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> matrix, const int chn)</td></tr>
<tr class="memdesc:gae14b96c862f6c1b1f13cce03a95e3e2d"><td class="mdescLeft"> </td><td class="mdescRight">Creates vertical matrix for \(F^1\)-transform computation.  <a href="../../d6/df0/group__f1__math.html#gae14b96c862f6c1b1f13cce03a95e3e2d">More...</a><br/></td></tr>
<tr class="separator:gae14b96c862f6c1b1f13cce03a95e3e2d"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga42960e3dedc53cb7a2b210e21d0c71a2"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/df0/group__f1__math.html#ga42960e3dedc53cb7a2b210e21d0c71a2">cv::ft::FT12D_inverseFT</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> components, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> kernel, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> output, int width, int height)</td></tr>
<tr class="memdesc:ga42960e3dedc53cb7a2b210e21d0c71a2"><td class="mdescLeft"> </td><td class="mdescRight">Computes inverse \(F^1\)-transfrom.  <a href="../../d6/df0/group__f1__math.html#ga42960e3dedc53cb7a2b210e21d0c71a2">More...</a><br/></td></tr>
<tr class="separator:ga42960e3dedc53cb7a2b210e21d0c71a2"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga3ac09befbc2b08c59cc9a60dbe3fdcca"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/df0/group__f1__math.html#ga3ac09befbc2b08c59cc9a60dbe3fdcca">cv::ft::FT12D_polynomial</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> matrix, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> kernel, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> c00, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> c10, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> c01, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> components, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> mask=<a class="el" href="../../dc/d84/group__core__basic.html#gad9287b23bba2fed753b36ef561ae7346">noArray</a>())</td></tr>
<tr class="memdesc:ga3ac09befbc2b08c59cc9a60dbe3fdcca"><td class="mdescLeft"> </td><td class="mdescRight">Computes elements of \(F^1\)-transform components.  <a href="../../d6/df0/group__f1__math.html#ga3ac09befbc2b08c59cc9a60dbe3fdcca">More...</a><br/></td></tr>
<tr class="separator:ga3ac09befbc2b08c59cc9a60dbe3fdcca"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga7a49b37ec6f442427b9a3ef4842189dd"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/df0/group__f1__math.html#ga7a49b37ec6f442427b9a3ef4842189dd">cv::ft::FT12D_process</a> (<a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> matrix, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> kernel, <a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> output, <a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> mask=<a class="el" href="../../dc/d84/group__core__basic.html#gad9287b23bba2fed753b36ef561ae7346">noArray</a>())</td></tr>
<tr class="memdesc:ga7a49b37ec6f442427b9a3ef4842189dd"><td class="mdescLeft"> </td><td class="mdescRight">Computes \(F^1\)-transfrom and inverse \(F^1\)-transfrom at once.  <a href="../../d6/df0/group__f1__math.html#ga7a49b37ec6f442427b9a3ef4842189dd">More...</a><br/></td></tr>
<tr class="separator:ga7a49b37ec6f442427b9a3ef4842189dd"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<a id="details" name="details"></a><h2 class="groupheader">Detailed Description</h2>
<p>Fuzzy transform ( \(F^1\)-transform) of the 1th degree transforms whole image to a matrix of its components. Each component is polynomial of the 1th degree carrying information about average color and average gradient of certain subarea. </p>
<h2 class="groupheader">Function Documentation</h2>
<a id="ga7d6d0321a9914d3796a1e3b9fc68a495"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ga7d6d0321a9914d3796a1e3b9fc68a495">◆ </a></span>FT12D_components()</h2>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">void cv::ft::FT12D_components </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>matrix</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>kernel</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>components</em> </td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table><table class="python_language"><tr><th colspan="999" style="text-align:left">Python:</th></tr><tr><td style="width: 20px;"></td><td>components</td><td>=</td><td>cv.ft.FT12D_components(</td><td class="paramname">matrix, kernel[, components]</td><td>)</td></tr></table>
</div><div class="memdoc">
<p><code>#include &lt;<a class="el" href="../../d2/d46/fuzzy__F1__math_8hpp.html">opencv2/fuzzy/fuzzy_F1_math.hpp</a>&gt;</code></p>
<p>Computes components of the array using direct \(F^1\)-transform. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">matrix</td><td>Input array. </td></tr>
    <tr><td class="paramname">kernel</td><td>Kernel used for processing. Function <code><a class="el" href="../../d1/dfc/group__f__image.html#ga0e5694cf8dd380d512e915660870027c" title="Creates kernel from basic functions. ">ft::createKernel</a></code> can be used. </td></tr>
    <tr><td class="paramname">components</td><td>Output 32-bit float array for the components.</td></tr>
  </table>
  </dd>
</dl>
<p>The function computes linear components using predefined kernel. </p>
</div>
</div>
<a id="ga4cdc8614be18fd950b6da114168391b5"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ga4cdc8614be18fd950b6da114168391b5">◆ </a></span>FT12D_createPolynomMatrixHorizontal()</h2>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">void cv::ft::FT12D_createPolynomMatrixHorizontal </td>
          <td>(</td>
          <td class="paramtype">int </td>
          <td class="paramname"><em>radius</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>matrix</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int </td>
          <td class="paramname"><em>chn</em> </td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table><table class="python_language"><tr><th colspan="999" style="text-align:left">Python:</th></tr><tr><td style="width: 20px;"></td><td>matrix</td><td>=</td><td>cv.ft.FT12D_createPolynomMatrixHorizontal(</td><td class="paramname">radius, chn[, matrix]</td><td>)</td></tr></table>
</div><div class="memdoc">
<p><code>#include &lt;<a class="el" href="../../d2/d46/fuzzy__F1__math_8hpp.html">opencv2/fuzzy/fuzzy_F1_math.hpp</a>&gt;</code></p>
<p>Creates horizontal matrix for \(F^1\)-transform computation. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">radius</td><td>Radius of the basic function. </td></tr>
    <tr><td class="paramname">matrix</td><td>The horizontal matrix. </td></tr>
    <tr><td class="paramname">chn</td><td>Number of channels.</td></tr>
  </table>
  </dd>
</dl>
<p>The function creates helper horizontal matrix for \(F^1\)-transfrom processing. It is used for gradient computation. </p>
</div>
</div>
<a id="gae14b96c862f6c1b1f13cce03a95e3e2d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#gae14b96c862f6c1b1f13cce03a95e3e2d">◆ </a></span>FT12D_createPolynomMatrixVertical()</h2>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">void cv::ft::FT12D_createPolynomMatrixVertical </td>
          <td>(</td>
          <td class="paramtype">int </td>
          <td class="paramname"><em>radius</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>matrix</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int </td>
          <td class="paramname"><em>chn</em> </td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table><table class="python_language"><tr><th colspan="999" style="text-align:left">Python:</th></tr><tr><td style="width: 20px;"></td><td>matrix</td><td>=</td><td>cv.ft.FT12D_createPolynomMatrixVertical(</td><td class="paramname">radius, chn[, matrix]</td><td>)</td></tr></table>
</div><div class="memdoc">
<p><code>#include &lt;<a class="el" href="../../d2/d46/fuzzy__F1__math_8hpp.html">opencv2/fuzzy/fuzzy_F1_math.hpp</a>&gt;</code></p>
<p>Creates vertical matrix for \(F^1\)-transform computation. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">radius</td><td>Radius of the basic function. </td></tr>
    <tr><td class="paramname">matrix</td><td>The vertical matrix. </td></tr>
    <tr><td class="paramname">chn</td><td>Number of channels.</td></tr>
  </table>
  </dd>
</dl>
<p>The function creates helper vertical matrix for \(F^1\)-transfrom processing. It is used for gradient computation. </p>
</div>
</div>
<a id="ga42960e3dedc53cb7a2b210e21d0c71a2"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ga42960e3dedc53cb7a2b210e21d0c71a2">◆ </a></span>FT12D_inverseFT()</h2>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">void cv::ft::FT12D_inverseFT </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>components</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>kernel</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>output</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int </td>
          <td class="paramname"><em>width</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int </td>
          <td class="paramname"><em>height</em> </td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table><table class="python_language"><tr><th colspan="999" style="text-align:left">Python:</th></tr><tr><td style="width: 20px;"></td><td>output</td><td>=</td><td>cv.ft.FT12D_inverseFT(</td><td class="paramname">components, kernel, width, height[, output]</td><td>)</td></tr></table>
</div><div class="memdoc">
<p><code>#include &lt;<a class="el" href="../../d2/d46/fuzzy__F1__math_8hpp.html">opencv2/fuzzy/fuzzy_F1_math.hpp</a>&gt;</code></p>
<p>Computes inverse \(F^1\)-transfrom. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">components</td><td>Input 32-bit float single channel array for the components. </td></tr>
    <tr><td class="paramname">kernel</td><td>Kernel used for processing. The same kernel as for components computation must be used. </td></tr>
    <tr><td class="paramname">output</td><td>Output 32-bit float array. </td></tr>
    <tr><td class="paramname">width</td><td>Width of the output array. </td></tr>
    <tr><td class="paramname">height</td><td>Height of the output array.</td></tr>
  </table>
  </dd>
</dl>
<p>Computation of inverse \(F^1\)-transform. </p>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#ga3ac09befbc2b08c59cc9a60dbe3fdcca">◆ </a></span>FT12D_polynomial()</h2>
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<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">void cv::ft::FT12D_polynomial </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>matrix</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>kernel</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>c00</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>c10</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>c01</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>components</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>mask</em> = <code><a class="el" href="../../dc/d84/group__core__basic.html#gad9287b23bba2fed753b36ef561ae7346">noArray</a>()</code> </td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table><table class="python_language"><tr><th colspan="999" style="text-align:left">Python:</th></tr><tr><td style="width: 20px;"></td><td>c00, c10, c01, components</td><td>=</td><td>cv.ft.FT12D_polynomial(</td><td class="paramname">matrix, kernel[, c00[, c10[, c01[, components[, mask]]]]]</td><td>)</td></tr></table>
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<p><code>#include &lt;<a class="el" href="../../d2/d46/fuzzy__F1__math_8hpp.html">opencv2/fuzzy/fuzzy_F1_math.hpp</a>&gt;</code></p>
<p>Computes elements of \(F^1\)-transform components. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">matrix</td><td>Input array. </td></tr>
    <tr><td class="paramname">kernel</td><td>Kernel used for processing. Function <code><a class="el" href="../../d1/dfc/group__f__image.html#ga0e5694cf8dd380d512e915660870027c" title="Creates kernel from basic functions. ">ft::createKernel</a></code> can be used. </td></tr>
    <tr><td class="paramname">c00</td><td>Elements represent average color. </td></tr>
    <tr><td class="paramname">c10</td><td>Elements represent average vertical gradient. </td></tr>
    <tr><td class="paramname">c01</td><td>Elements represent average horizontal gradient. </td></tr>
    <tr><td class="paramname">components</td><td>Output 32-bit float array for the components. </td></tr>
    <tr><td class="paramname">mask</td><td>Mask can be used for unwanted area marking.</td></tr>
  </table>
  </dd>
</dl>
<p>The function computes components and its elements using predefined kernel and mask. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#ga7a49b37ec6f442427b9a3ef4842189dd">◆ </a></span>FT12D_process()</h2>
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          <td class="memname">void cv::ft::FT12D_process </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>matrix</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>kernel</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> </td>
          <td class="paramname"><em>output</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> </td>
          <td class="paramname"><em>mask</em> = <code><a class="el" href="../../dc/d84/group__core__basic.html#gad9287b23bba2fed753b36ef561ae7346">noArray</a>()</code> </td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table><table class="python_language"><tr><th colspan="999" style="text-align:left">Python:</th></tr><tr><td style="width: 20px;"></td><td>output</td><td>=</td><td>cv.ft.FT12D_process(</td><td class="paramname">matrix, kernel[, output[, mask]]</td><td>)</td></tr></table>
</div><div class="memdoc">
<p><code>#include &lt;<a class="el" href="../../d2/d46/fuzzy__F1__math_8hpp.html">opencv2/fuzzy/fuzzy_F1_math.hpp</a>&gt;</code></p>
<p>Computes \(F^1\)-transfrom and inverse \(F^1\)-transfrom at once. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">matrix</td><td>Input matrix. </td></tr>
    <tr><td class="paramname">kernel</td><td>Kernel used for processing. Function <code><a class="el" href="../../d1/dfc/group__f__image.html#ga0e5694cf8dd380d512e915660870027c" title="Creates kernel from basic functions. ">ft::createKernel</a></code> can be used. </td></tr>
    <tr><td class="paramname">output</td><td>Output 32-bit float array. </td></tr>
    <tr><td class="paramname">mask</td><td>Mask used for unwanted area marking.</td></tr>
  </table>
  </dd>
</dl>
<p>This function computes \(F^1\)-transfrom and inverse \(F^1\)-transfotm in one step. It is fully sufficient and optimized for <code><a class="el" href="../../d3/d63/classcv_1_1Mat.html" title="n-dimensional dense array class ">cv::Mat</a></code>.</p>
<dl class="section note"><dt>Note</dt><dd>F-transform technique of first degreee is described in paper <a class="el" href="../../d0/de3/citelist.html#CITEREF_Vlas:FT">[263]</a>. </dd></dl>
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